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Mg measurement computing instacal
Mg measurement computing instacal






mg measurement computing instacal

In the food industry, the detection of contaminants, verification Most research and development has been devoted to this area. In fact, most of the commercially available biosensor systems areĪpplied in the clinical and pharmaceutical markets. Including environmental and bioprocess control, quality control ofįood, agriculture, military, and, particularly, medical applications. HPLC/MS and GC/MS give satisfactory analytical results for pesticide determination, new assays and sensors for cheaper and fasterīiosensors are being developed for different applications, Opinion that chemical analysis by itself does not provide sufficient information to assess the ecological risk of polluted watersĪnd wastewaters. In environmental pollution monitoring, it is becoming a general ∗ Corresponding author at: Laboratory of Plant Physiology, Faculty of Agriculturalīiotechnology, Agricultural University of Athens, Athens, Greece.Ġ039-9140/$ – see front matter © 2009 Elsevier B.V. The most widely grown vegetables in the world and a basic component of the Mediterranean diet and is used almost daily in severalĮuropean countries, raw, home-cooked or processed as a canned Tomato (Lycopersicon esculentum) is one of That for certain products which are frequently consumed the risk is

mg measurement computing instacal

Related to the daily intake of chemically contaminated food and It is well known that the level of risk is closely One of the major controversies inciting theseĬoncerns involves the production and consumption of fresh fruitsĪnd vegetables. All rights reserved.ĭuring the last two decades there have been growing societalĬoncerns over issues related to public health, environmental quality, and food safety. The experimental results showed a higher increase of the intracellularĬa2+ concentration in cells treated with non-organic samples compared to the cells treated with organic The tomato samples were either organically grown or contained 14 different pesticides. Finally, for the investigation of the effects of different pesticides on the accumulation of cytosolicĬa2+, we conducted a fluorescent assay on N2a cells treated with tomato sample extracts, which were The lowest detected concentration wasģ nM. We demonstrate that the sensor can be used for the qualitative and, in some concentrations, quanti tativeĭetection of the pesticides with a high degree of reproducibility. Based on the observed patterns of response, In this way, we hoped to increase the selectivity of the assay. Used as the biosensory elements in order to investigate their differential response against the pesticides. Two different cell types, N2a (neuroblastoma) and Vero (fibroblast) were The pesticides used were the organophosphate insecticide diazinon and the dithiocarbamate fungicide propineb. The cells were immobilized by entrapment in a sodium alginate bead and directly applied in different pesticide dilutions andĪgricultural samples. This study presents the construction of a rapid and sensitive cellularīiosensor test based on the measurement of changes of the cell membrane potential of immobilized cells,Īccording to the working principle of the Bioelectric Recognition Assay (BERA). Their extensive and inappropriate use has rendered their reliable monitoring at trace Two of the most important categories of pesticides used in agricultural practice are organophosphates andĭithiocarbamates. National Reference Laboratory of Pesticides Residues, Benaki Phytopathological Institute, Athens, Greece Laboratory of Plant Physiology, Faculty of Agricultural Biotechnology, Agricultural University of Athens, Athens, GreeceĮMBIO Diagnostics Project, Nicosia, Cyprus

mg measurement computing instacal

Kelly Flampouri a,b, Sophie Mavrikou a,b, Spiridon Kintzios a,b,∗, George Miliadis c ,

mg measurement computing instacal

Journal homepage: Development and validation of a cellular biosensor detecting pesticide Contents lists available at ScienceDirect








Mg measurement computing instacal